DocumentCode
2402254
Title
A reversible blind medical image watermarking scheme for patient identification, improved telediagnosis and tamper detection with a facial image watermark
Author
Velumani, R. ; Seenivasagam, V.
Author_Institution
Dept. of Inf. Technol., Sethu Inst. of Technol., Kariapatti, India
fYear
2010
fDate
28-29 Dec. 2010
Firstpage
1
Lastpage
8
Abstract
The evolution of telemedicine has lead to the explosive increase in the exchange of medical images among remotely placed medical practitioners. As the medical images serve as valuable evidences for insurance claims and legal trials as well, it is required to ensure that these images are unaltered and they should be identified to be of that of an individual unambiguously. A recent research has shown that appending the patient´s photograph with the medical image improves telediagnosis rather than just sending the medical image to a remote radiologist. To the contrary, major health policies have stipulated stringent rules regarding the disclosure of identity of the patients. This paper presents a reversible blind watermarking scheme to watermark a medical image with the patient´s photograph in an invisible manner such that it is available to the respective physician only on extraction with a key.
Keywords
face recognition; image watermarking; medical image processing; telemedicine; facial image watermark; improved telediagnosis; patient identification; patient photograph; reversible blind medical image watermarking scheme; tamper detection; telemedicine; Authentication; Computed tomography; Image color analysis; Medical diagnostic imaging; PSNR; Watermarking; Telemedicine; blind watermarking; patient identity; reversible watermarking; tamper indication; telediagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5965-0
Electronic_ISBN
978-1-4244-5967-4
Type
conf
DOI
10.1109/ICCIC.2010.5705832
Filename
5705832
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